Volume: 2 Issue: 2
Year: 2025, Page: 9-12, Doi: https://doi.org/10.70968/ijeaca.v2i2.D107
Received: July 8, 2025 Accepted: Nov. 11, 2025 Published: Dec. 10, 2025
The digital music streaming space has seen great growth which in turn has produced large scale data sets which we are now able to use for in depth analysis of user taste and music trends. We report in this study which is a full analysis of the Spotify Top Songs data set using Power BI to present what we found which was valuable information related to what makes a song popular, how artists do over time, and the what the content of the music is. Our main goal was to dig out what may be considered hidden in the data and present it in an interactive and very visual way. The data we looked at included song title, artist name, popularity score, what is and what is not explicit content, and also what year the data was from. We also did what we had to in terms of data prep which included cleaning up the data, transforming it into a workable format, and bringing it all to a consistent structure. We used many visual tools which included bar graphs, KPI’s, etc. We put together a dashboard which includes key metrics like total number of songs, total artists, songs per artist and their popularity distribution. Also, we highlight which artists are dominant and do a compare of explicit and non-explicit songs. Also, we looked at the trends in average popularity which in turn help to see how audience preferences time.
Keywords: Interactive Dashboard for Music Streaming Analytics Using Power BI
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© 2025 Sanap. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sanap SD, Bhise G. Interactive Dashboard for Music Streaming Analytics Using Power BI.2025; 2(2):9-12.
https://doi.org/10.70968/ijeaca.v2i2.D107